Gordon J. Provan

2.1k citations
29 papers · 1.7k · h-index 19

Impact in

  • Biochemistry top 0.5%
    • Phytochemicals and Antioxidant Activities
    • Antioxidant Activity and Oxidative Stress
    • Essential Oils and Antimicrobial Activity

Papers in

Gordon J. Provan

29 papers receiving 1.6k citations

Peers

Gordon J. Provan
Comparison fields: 5 of 121
  • Biochemistry 636
  • Food Science 373
  • Pathology and Forensic Medicine 352
  • Plant Science 561
  • Applied Microbiology and Biotechnology 27
Replace Ya Cai with:
Ya Cai United Kingdom
Robin Joshi India
Tae Joung Ha South Korea
Daniéle Magnolato Switzerland
Tohru Mitsunaga Japan
Anabela S. G. Costa Portugal
Stephen M. Boué United States
Hau Yin Chung Hong Kong
Anna Podsędek Poland
Wilfried Andlauer Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Gordon J. Provan

Since Specialization
Citations

This map shows the geographic impact of Gordon J. Provan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gordon J. Provan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gordon J. Provan more than expected).

Fields of papers citing papers by Gordon J. Provan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gordon J. Provan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gordon J. Provan. The network helps show where Gordon J. Provan may publish in the future.

Co-authors

The 25 scholars most cited alongside Gordon J. Provan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gordon J. Provan Line = papers co-authored together Gordon J. Provan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002470
2 2000294
3 2003137
4 1998112
5 199398
6 199995
7 199356
8 199456
9 200354
10 199749
11 199837
12 199031
13 198631
14 200030
15 200222
16 198521
17 198821
18 198720
19 199218
20 198716

About Gordon J. Provan

Gordon J. Provan is a scholar working on Pharmacology, Plant Science, Molecular Biology, Biochemistry and Biomedical Engineering, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pharmacological Effects of Medicinal Plants (8 papers), Plant Toxicity and Pharmacological Properties (5 papers), Phytochemicals and Antioxidant Activities (5 papers), Tea Polyphenols and Effects (3 papers), Ethnobotanical and Medicinal Plants Studies (3 papers), Ruminant Nutrition and Digestive Physiology (2 papers), Natural product bioactivities and synthesis (2 papers) and Plant Gene Expression Analysis (2 papers). The work is most often cited by research in Biochemistry (636 citations), Food Science (373 citations), Pathology and Forensic Medicine (352 citations), Plant Science (561 citations) and Applied Microbiology and Biotechnology (27 citations). Gordon J. Provan has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Huafu Wang, Keith Helliwell, María Jesús Periago, Andrew Chesson, Peter G. Waterman, Lorraine Scobbie, Wendy R. Russell, Mark J. Burkitt, Alexander I. Gray and Anthony J. Richardson. Their work appears in journals such as Journal of the Science of Food and Agriculture, Phytochemistry, Flavour and Fragrance Journal, Journal of Pharmaceutical and Biomedical Analysis and Planta Medica.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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